This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As companies strive to innovate and deliver faster, modern softwarearchitecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Dynatrace news. Azure Functions in a nutshell.
You may be using serverless functions like AWSLambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern softwarearchitecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”
As companies strive to innovate and deliver faster, modern softwarearchitecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Dynatrace news. Azure Functions in a nutshell.
Architecture modernisation tools and techniques for each phase (these lists are not exhaustive) Business Strategy Alignment Softwarearchitecture is the significant technical decisions that have business consequences. This means a softwarearchitecture should be purposely designed for the most favourable business consequences.
AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Amazon and AWS Ascendant. If Microsoft and Google really are coming on strong, they aren’t dislodging Amazon and AWS. Serverless Stagnant.
Whether you choose Azure Functions or AWSLambda, you cannot easily switch to another. Azure Functions don't have this restriction, but on AWSLambda, functions are not allowed to run for longer than 5 minutes. Amazon: AWSLambda. Disadvantages. On Public Clouds: Microsoft: Azure Functions. IBM: OpenWhisk.
We joke, it’s about Lambda, of course. When precisely that will be is partly down to us, and partly down to whatever gifts Ajay Nair and the rest of the Lambda team give to us over the coming months that completely derail our outline. Remote Lambda Debugging support . C’mon Lambda team! But the book part is for real.
And of course, if you’re interested in getting some help in April or May for architecture review, DevSecCostOps (™) , or building a Lambda-backed proof-of-concept, then drop us a line. Here’s one from the tool vendor Signal FX talking about how to use their product with Lambda. OK, on to some juicy articles. Just saying.
Given that Amazon’s AWSLambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. That respondents are paying close attention to serverless reflects a softwarearchitecture “best practice:” the need to understand every approach, even those that don’t apply.
I was a little restricted in my thinking the first time around and I’ve come to see FaaS as something not quite stateless, since caching state in a Lambda instance that might stick around for 5 hours is a perfectly reasonable idea. and products like AWS Fargate have made this distinction murkier still.
Examples of these skills are artificial intelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWSLambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. For example in Topic 1, the skills “AWS” and “cloud” map to the job titles cloud engineer, AWS solutions architect, and technology consultant.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content